Chapter 11 explains different classes of in‐situ sensing devices used for AM processes. It covers theories of some of the sensors used in AM, while shedding light on various applications of statistical approaches as quality assurance paradigms. It ends with fundamental and applications of machine learning techniques to AM and a case study.
Chapter 12 is mainly concerned with safety regulations in the AM industry. A basic understanding of AM process hazards, hazardous materials in AM, and associated safety matters in laser‐based and electron beam AM techniques is covered. It also briefly explains human health hazards in AM and the comprehensive steps necessary for safety management.
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